Analyst-Financial Sr (100040)

The Sr. Financial Analyst at American Honda Finance will be responsible for end-to-end credit loss analytics, allowance estimation, and financial forecasting for US and Canadian consumer finance portfolios, adhering to USGAAP and IFRS standards. The role involves developing automated workflow applications, preparing credit loss reserve reports, and supporting both internal and external audits. Candidates must have a bachelor’s degree in finance, accounting, economics, statistics, mathematics, data science, or a related field, with at least 5 years of progressive experience in credit loss forecasting. Advanced proficiency in Excel, Microsoft Office Suite, ERP systems, and programming languages such as Python, R, and SAS is required. Preferred qualifications include CFA, CPA, CMA, or MBA certifications. The position is remote with a 4-day in-office rotation and requires strong analytical and communication skills. The Sr. Financial Analyst at American Honda Finance is responsible for end-to-end credit loss analytics, allowance estimation, and financial forecast model administration for both US and Canadian consumer finance portfolios. This role supports internal SOX controls, develops automated workflow applications, and provides audit-ready data packages. The position involves preparing credit loss reserve reports, supporting data and analytics initiatives, and communicating insights to various teams. Compensation ranges from $83,000 to $124,500, with eligibility for regional bonuses, comprehensive benefits, paid time off, disability coverage, 401K with company match, and additional perks such as education reimbursement and wellbeing programmes. The role offers career growth and advancement opportunities within a dynamic, remote-first work environment.

Legal Entity:

American Honda Finance Corp.
Business Unit:

American Honda Finance Corp:

Department:

Technical Accounting & Modeling:

Division:

Finance & Administration Division:

Work Location:

• Torrance
• Main Campus Location
  Shift:

1st
Workstyle:

Remote Eligible up to 20%
Career Level:

4
Job Grade:

Exempt-3
Salary Range:

$83,000.00 - $124,500.00

Job Purpose

American Honda Finance is currently seeking a Sr. Financial Analyst for our Accounting Operations division. The Sr. Financial Analyst will perform end-to-end credit loss analytics, allowance estimation, and financial forecast model administration/development for both US and Canadian consumer finance portfolios, per USGAAP and IFRS accounting standards under internal SOX controls, while also developing automated workflow applications, supporting data & analytics project initiatives, providing audit-ready data packages, and communicating insights to committees, management, and cross-functional teams.

Key Accountabilities

Key Accountabilities will include but are not limited to:

• Process/validate credit loss forecast models under SOX controls and prepare subsequent monthly/quarterly credit loss reserve reporting, journal entries
• Perform analytics on originations, delinquency, net charge-off, probability of default, loss
• Develop econometric credit loss forecast models and automated workflow applications
• Prepare quarter-end footnotes and public debt disclosures related to credit loss and fair value of CFS portfolios for SEC / 10K reporting
• Provide credit loss reserve forecasts to corporate planning department
• Perform analytics on quarterly balance sheet and income statement financial statements
• Provide data analytics and support explanations for internal SOX and external KPMG audits

Qualifications, Experience, and Skills

We are looking for qualified people with diverse backgrounds and experiences, open minds, and a disciplined work ethic. To bring the future to Honda as an Sr. Financial Analyst, you must have:

Minimum Education Qualifications:

• Bachelor’s degree in finance, accounting, economics, statistics, mathematics, data science, or a related business field required.
• Preferred certifications: CFA, CPA, CMA, MBA

Minimum Experience:

• Minimum of 5+ years of progressive professional experience in forecasting credit losses, preferably for consumer and dealer finance portfolios.
• Experience in data analytics, financial modeling, corporate finance, and financial planning preferred.
• Advanced proficiency in Excel, Microsoft Office Suite (Access, Word, PowerPoint) ERP systems (SAP, Business Objects, Oracle).
• Proficiency in programming languages (Python, R, SAS) and data visualization tools (Tableau, Power BI).

Other Job Specific Skills:

• Progressively develop and refine new forms of data analytics to capture potential risks, track and identify trends, and communicate effectively to management, credit loss committees, and cross-functional teams.
• Present to large audiences with broad experience levels.
• Ability to design and develop financial models based on specific accounting and reporting requirements.
• Highly detailed analytics skills to understand, interpret, and effectively communicate results of financial models and data analytics.

Working Conditions

Workstyle: 80/20 (4 days in office, 1 day remote) Torrance Location

Travel: 5%

What differentiates Honda and make us an employer of choice?Total Rewards:

• Competitive Base Salary (pay will be based on several variables that include, but not limited to geographic location, work experience, etc.)
• Regional Bonus (when applicable)
• Lease Car Program
• Industry-leading Benefit Plans (Medical, Dental, Vision, Rx)
• Paid time off, including vacation, holidays, shutdown
• Company Paid Short-Term and Long-Term Disability
• 401K Plan with company match + additional contribution
• Relocation assistance (if eligible)

Career Growth:

• Advancement Opportunities
• Career Mobility
• Education Reimbursement for Continued Learning
• Training and Development Programs

Additional Offerings:

• Lifestyle Account
• Childcare Reimbursement Account
• Elder Care Support
• Tuition Assistance & Student Loan Repayment
• Wellbeing Program
• Community Service and Engagement Programs
• Product Programs

Honda is an equal opportunity employer and considers qualified applicants for employment without regard to race, color, creed, religion, national origin, sex, sexual orientation, gender identity and expression, age, disability, veteran status, or any other protected factor.

Responsibilities:

• Responsible for process validation and preparation of credit loss forecast models under SOX controls, including monthly and quarterly credit loss reserve reporting and journal entries.
• Play a key role in shaping analytics on originations, delinquency, net charge-off, probability of default, and loss.
• Develop econometric credit loss forecast models and automated workflow applications.
• Prepare quarter-end footnotes and public debt disclosures related to credit loss and fair value of CFS portfolios for SEC and 10K reporting.
• Provide credit loss reserve forecasts to the corporate planning department.
• Perform analytics on quarterly balance sheet and income statement financial statements.
• Deliver high-quality data analytics and support explanations for internal SOX and external KPMG audits.
• Collaborate cross-functionally to communicate insights to committees, management, and cross-functional teams. Skills
• A minimum of 5+ years of progressive professional experience in forecasting credit losses, preferably for consumer and dealer finance portfolios.
• Experience in data analytics, financial modeling, corporate finance, and financial planning is preferred.
• Advanced proficiency in Excel, Microsoft Office Suite (Access, Word, PowerPoint), and ERP systems such as SAP, Business Objects, or Oracle.
• Proficiency in programming languages including Python, R, and SAS, as well as data visualisation tools such as Tableau and Power BI.
• Ability to design and develop financial models based on specific accounting and reporting requirements.
• Highly detailed analytics skills to understand, interpret, and communicate results of financial models and data analytics.
• Experience presenting to large audiences and designing new forms of data analytics to capture potential risks and track trends.
• Strong communication skills to effectively convey insights to management and cross-functional teams. Education
• A bachelor’s degree in finance, accounting, economics, statistics, mathematics, data science, or a related business field is required.
• Preferred certifications include CFA, CPA, CMA, or MBA.